N: 90 S: -90 E: 180 W: -180
Description
This dataset provides global solar-induced chlorophyll fluorescence (SIF) estimates at a 0.05-degree resolution (approximately 5 km at the equator) for each month from August 2002 through December 2018. SIF data (740 nm) was retrieved from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) and Global Ozone Monitoring Experiment 2 (GOME-2) instruments onboard the MetOp-A satellite and was downscaled to 0.05 degree using Random Forest algorithm and harmonized with cumulative distribution function (CDF) matching technique. The uncertainty of the SIF estimates was also quantified and is provided. Validation of the harmonized product showed that it retained high spatial and temporal consistency with the original SCIAMACHY and GOME-2 SIF retrievals and had good correlations with independent airborne and ground-based SIF measurements. The dataset will inform on the synergy between satellite SIF and photosynthesis and research on drought, yield estimation, and land degradation evaluation.
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Publications Citing This Dataset
| Title | Authors | Year Sort ascending | Referenced Datasets |
|---|---|---|---|
| An exploration on satellite thermal remote sensing of vegetation water stress with two-stage trapezoid model |
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| Ignoring previous water conditions underestimates global terrestrial |
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| Downscaling Solar-Induced Chlorophyll Fluorescence to A 0.05-Degree Monthly Product using AVHRR Data in East Asia (1995-2003) |
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| Bias-blind and bias-aware assimilation of leaf area index into the Noah-MP land surface model over Europe |
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